Database
Update 2: Presentation from the NoSQL conference: slides, video. Update: Why you won't be building your killer app on a distributed hash table by Jonathan Ellis. Why I think Cassandra is the most promising of the open-source distributed databases --you get a relatively rich data model and a
Product
Update: Presentation from the NoSQL conference: slides, video 1, video 2. Project Voldemort is an open source implementation of the basic parts of Dynamo (Amazon’s Highly Available Key-value Store) distributed key-value storage system. LinkedIn is using it in their production environment for "certain high-scalability storage problems where simple
key-value store
The abstract for the talk given by Bob Ippolito, co-founder and CTO of Mochi Media, Inc: Building large systems on top of a traditional single-master RDBMS data storage layer is no longer good enough. This talk explores the landscape of new technologies available today to augment your data layer to
General Discussion
My Table has 2 columsn .Column1 is id,Column2 contains information given by user about item in Column1 .User can give 3 types of information about item.I separate the opinion of single user by comma,and opinion of another user by ;. Example- 23-34,us,56;78,in,78 I
Product
With the introduction of Redis your options in the key-value space just grew and your choice of which to pick just got a lot harder. But when you think about it, that's not a bad position to be in at all. Redis (REmote DIctionary Server) - a key-value
key-value store
Lightcloud is a distributed and persistent key-value database from Plurk.com. Performance is said to be comparable to memcached. It's different than memcachedb because it scales out horizontally by adding new nodes. It's different than memcached because it persists to disk, it's not just
Python
Ringo is an experimental, distributed, replicating key-value store based on consistent hashing and immutable data. Unlike many general-purpose databases, Ringo is designed for a specific use case: For archiving small (less than 4KB) or medium-size data items (<100MB) in real-time so that the data can survive K - 1